Max Kuhns — OGILVIE

Max Kuhns P Reading Fightin Phils

Age 31 RHP 6'2" / 209 lbs AA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 124115vR 107

ERA4.76

FIP4.76

K%22.8%

BB%11.9%

K-BB%10.9%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5555

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2016	21	ROK MLE	Kingsport Mets	13	0	14	66	15	8	1	0%	1.1	15.5%	15.2%	0.3%	2.1%	6.28	4.88	—
2016	21	ROK RAW	Kingsport Mets	13	0	14	66	15	8	1	0%	1.1	22.7%	12.1%	10.6%	1.5%	6.28	3.59	—
2017	22	A MLE	Columbia Fireflies	17	0	26	100	37	10	0	0%	1.5	27.4%	11.8%	15.6%	0.0%	2.10	2.28	—
2017	22	A RAW	Columbia Fireflies	17	0	26	100	37	10	0	0%	1.5	37.0%	10.0%	27.0%	0.0%	2.10	1.39	—
2018	23	ROK MLE	GCL Mets	5	5	6	25	3	1	1	100%	1.2	12.0%	4.0%	8.0%	4.0%	3.00	4.79	—
2018	23	ROK RAW	GCL Mets	5	5	6	25	3	1	1	100%	1.2	12.0%	4.0%	8.0%	4.0%	3.00	4.77	—
2019	24	A+ MLE	St. Lucie Mets	1	0	2	10	1	2	0	0%	2.0	10.0%	20.0%	-10.0%	0.0%	4.50	4.79	—
2019	24	A+ RAW	St. Lucie Mets	1	0	2	10	1	2	0	0%	2.0	10.0%	20.0%	-10.0%	0.0%	4.50	5.10	—
2023	28	MIX MLE	3 levels	33	0	32	158	43	26	8	0%	1.0	21.5%	17.2%	4.3%	6.2%	7.67	6.88	—
2023	28	MIX MLE	3 levels	33	0	32	158	43	26	8	0%	1.0	21.5%	17.2%	4.3%	6.2%	7.67	6.88	—
2023	28	MIX RAW	3 levels	33	0	32	158	43	26	8	0%	1.0	27.2%	16.5%	10.8%	5.1%	7.67	6.13	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	31	MLB	PHI	1	0	1	4	1	1	0	0%	1.0	22.8%	11.9%	10.9%	3.1%	4.76	4.76	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	PHI	19	0	20	84	19	10	3	0%	1.1	22.4%	12.0%	10.4%	3.3%	4.85	4.94	-0.1
2027	32	MLB CTX	PHI	6	0	6	25	6	3	1	0%	1.0	22.4%	12.0%	10.4%	3.3%	4.85	4.94	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.4%	12.0%	10.4%	3.3%	4.85	4.56	-0.0
/ 200 IP	—	RAW		190	0	200	844	192	96	32	0%	1.1	22.4%	12.0%	10.4%	3.3%	4.85	4.56	-0.0
Career	—	MLE		69	5	80	359	76	52	12	7%	1.2	21.0%	14.5%	6.6%	3.4%	5.20	5.03	-0.1
/ 200 IP	—	MLE		173	13	200	901	190	131	31	7%	1.2	21.0%	14.5%	6.6%	3.4%	5.20	5.03	-0.9

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Max Kuhns (OGILVIE)	—	—	4.76	22.8%	11.9%	3.1%	—	4.94	22.4%	10.4%	20	+0.18	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	92
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	83
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.92	176	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	82
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	80
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	77
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	76
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	76
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	76
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	75
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	75
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	75
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	75
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	75
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	74
Leonel Campos R 2017 · 3.70 FIP	30	SU	3.70	25.7%	11.8%	2.3%	.241	—	—	—	—	—	2.62	168	73
Adam Ottavino R 2017 · 4.44 FIP	31	SU	4.44	25.9%	15.2%	2.9%	.296	2.60	33.3%	22.0%	162	-1.84	2.10	488	73
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	73
Jeff Manship R 2016 · 4.87 FIP	31	SU	4.87	19.0%	10.6%	3.7%	.262	—	—	—	—	—	2.83	114	72
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	72